ActivStats for SPSS (2000-2001)

ActivStats for SPSS (2000-2001)
Author: Paul F. Velleman
Publisher:
Total Pages:
Release: 2000-08-04
Genre: Statistics
ISBN: 9780201708608

ActivStats for SPSS (Windows only) provides an introductory statistics course on CD-ROM using the full potential of multimedia. It is particularly well-suited for statistics for natural sciences or introductory statistics where SPSS® is used. The CD-ROM integrates video, simulation, animation, narration, text, pictures, interactive experiments, and Web access into a rich learning environment. The course offers practice with real data via links to the widely used statistical software package, SPSS. ActivStats for SPSS offers audio and visual instruction for performing statistical analyses in SPSS, which must be previously installed on the user's computer. Using ActivStats for SPSS, students develop a sound understanding of statistical concepts and methods. The CD-ROM follows a course scope and sequence consistent with the ASA/MAA guidelines for teaching introductory statistics and the Advanced Placement Statistics Course. ActivStats for SPSS is designed to accompany any statistics text, even offering the option of alternative topic orders to match the most common textbook sequences. It can also be used as a source of laboratory activities, as a personal study guide, or as the core of a self-paced or distance learning course. Instructor extensions can be added to each page to tailor the material to students' particular needs.

Thinking With Data

Thinking With Data
Author: Marsha C. Lovett
Publisher: Psychology Press
Total Pages: 488
Release: 2012-08-21
Genre: Psychology
ISBN: 1136679421

The chapters in Thinking With Data are based on presentations given at the 33rd Carnegie Symposium on Cognition. The Symposium was motivated by the confluence of three emerging trends: (1) the increasing need for people to think effectively with data at work, at school, and in everyday life, (2) the expanding technologies available to support people as they think with data, and (3) the growing scientific interest in understanding how people think with data. What is thinking with data? It is the set of cognitive processes used to identify, integrate, and communicate the information present in complex numerical, categorical, and graphical data. This book offers a multidisciplinary presentation of recent research on the topic. Contributors represent a variety of disciplines: cognitive and developmental psychology; math, science, and statistics education; and decision science. The methods applied in various chapters similarly reflect a scientific diversity, including qualitative and quantitative analysis, experimentation and classroom observation, computational modeling, and neuroimaging. Throughout the book, research results are presented in a way that connects with both learning theory and instructional application. The book is organized in three sections: Part I focuses on the concepts of uncertainty and variation and on how people understand these ideas in a variety of contexts. Part II focuses on how people work with data to understand its structure and draw conclusions from data either in terms of formal statistical analyses or informal assessments of evidence. Part III focuses on how people learn from data and how they use data to make decisions in daily and professional life.

Common Errors in Statistics (and How to Avoid Them)

Common Errors in Statistics (and How to Avoid Them)
Author: Phillip I. Good
Publisher: John Wiley & Sons
Total Pages: 231
Release: 2011-09-20
Genre: Mathematics
ISBN: 1118211278

Praise for the Second Edition "All statistics students and teachers will find in this book a friendly and intelligentguide to . . . applied statistics in practice." —Journal of Applied Statistics ". . . a very engaging and valuable book for all who use statistics in any setting." —CHOICE ". . . a concise guide to the basics of statistics, replete with examples . . . a valuablereference for more advanced statisticians as well." —MAA Reviews Now in its Third Edition, the highly readable Common Errors in Statistics (and How to Avoid Them) continues to serve as a thorough and straightforward discussion of basic statistical methods, presentations, approaches, and modeling techniques. Further enriched with new examples and counterexamples from the latest research as well as added coverage of relevant topics, this new edition of the benchmark book addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research. The Third Edition has been considerably expanded and revised to include: A new chapter on data quality assessment A new chapter on correlated data An expanded chapter on data analysis covering categorical and ordinal data, continuous measurements, and time-to-event data, including sections on factorial and crossover designs Revamped exercises with a stronger emphasis on solutions An extended chapter on report preparation New sections on factor analysis as well as Poisson and negative binomial regression Providing valuable, up-to-date information in the same user-friendly format as its predecessor, Common Errors in Statistics (and How to Avoid Them), Third Edition is an excellent book for students and professionals in industry, government, medicine, and the social sciences.

Essentials of Statistics

Essentials of Statistics
Author: Mario F. Triola
Publisher: Addison Wesley
Total Pages: 654
Release: 2001
Genre: Mathematics
ISBN:

The book is the ideal text for instructors who want a more economical and streamlined text for their introductory statistics course. Drawn from Triola's Elementary Statistics this text provides the same student-friendly approach with material presented in a real-world context. ... From publisher description.

The Challenge of Developing Statistical Literacy, Reasoning and Thinking

The Challenge of Developing Statistical Literacy, Reasoning and Thinking
Author: Dani Ben-Zvi
Publisher: Springer Science & Business Media
Total Pages: 423
Release: 2006-02-23
Genre: Mathematics
ISBN: 1402022786

Unique in that it collects, presents, and synthesizes cutting edge research on different aspects of statistical reasoning and applies this research to the teaching of statistics to students at all educational levels, this volume will prove of great value to mathematics and statistics education researchers, statistics educators, statisticians, cognitive psychologists, mathematics teachers, mathematics and statistics curriculum developers, and quantitative literacy experts in education and government.